Title :
Power system reliability indices to measure impacts caused by transient stability crises
Author :
Huang, Garng M. ; Li, Yishan
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
A method is proposed for assessment of composite power system reliability, including both the static and dynamic processes, through the sequential Monte Carlo simulation. The impacts of both the permanent and transient faults on system reliability are considered. The stochastic properties of the contingencies are involved in this paper. Further, to reflect the effects of the system dynamic process and the importance of transient faults, two new reliability indices associated with transient stability are introduced for the integrated reliability evaluation. The approach is illustrated through the WSCC 9-bus system.
Keywords :
Monte Carlo methods; power system reliability; power system transient stability; stochastic processes; WSCC 9-bus system; composite power system reliability; dynamic processes; integrated reliability evaluation; permanent faults; power system reliability indices; reliability indices; sequential Monte Carlo simulation; static processes; stochastic properties; system dynamic process; transient faults; transient stability crises; Power measurement; Power quality; Power system dynamics; Power system faults; Power system modeling; Power system reliability; Power system security; Power system stability; Power system transients; Stochastic processes;
Conference_Titel :
Power Engineering Society Winter Meeting, 2002. IEEE
Print_ISBN :
0-7803-7322-7
DOI :
10.1109/PESW.2002.985110
